Collibra

JULY 13, 2023

They say, “Bob or Mary is ensuring good data management with governance, quality, lineage. The data now includes online conversations, news, documentation, blogs, social media — everything and anything that’s publicly available. What you need is a governance model for AI. You need AI governance.

Government 85

Government Data science Artificial Intelligence Analytics 85

Collibra

JULY 20, 2023

In our final blog on the four principles of data mesh, we’ll focus on federated computational governance (or FCG). Previously, we’ve published blogs on an overview of data mesh , domain-driven ownership , data-as-a-product and self-service data-infrastructure. Federating the governance model can have several benefits.

Government 67

Government Compliance Communications Analytics 67

IBM Big Data Hub

FEBRUARY 8, 2022

Operations and management require extensive coordination between federal, state and local governments and detailed, often disparate, reporting to each organization participating in the program. Its governing bodies, executives, educators and staff are dedicated to empowering students and their families.

Analytics 56

Analytics Education Data science Government 56

IBM Big Data Hub

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Combining or linking data assets across multiple repositories to gain greater data analytics and insights requires alignment.

Government 52

Government Data Privacy Compliance Access 52

IBM Big Data Hub

DECEMBER 16, 2022

At the same time, governments around the world are continuously evaluating and implementing new AI guidelines and AI regulation frameworks. We think that businesses have an opportunity to act now to put guardrails in place internally to govern how AI is developed and deployed.

Government 118

Government Artificial Intelligence Metadata Data collection 118

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. www.erwin.com/blog/defining-data-governance/.

Government 40

Government Financial Services GDPR Data breaches 40

erwin

APRIL 15, 2020

During this coronavirus emergency, we are all being deluged by data from politicians, government agencies, news outlets, social media and websites, including valid facts but also opinions and rumors. Data Governance Methods for Data Distancing. erwin Data Intelligence for Data Governance and Distancing.

Government 134

Government Data science Metadata Analytics 134

erwin

APRIL 2, 2021

Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents. That’s especially true as the data-driven enterprise momentum grows along with self-service analytics that enable users to have greater access to information, often using it without IT’s knowledge.

Government 106

Government GDPR Metadata Risk 106

erwin

JANUARY 9, 2020

Then there’s unstructured data with no contextual framework to govern data flows across the enterprise not to mention time-consuming manual data preparation and limited views of data lineage. So here’s why data modeling is so critical to data governance. CCPA vs. GDPR: Key Differences. erwin Data Modeler: Where the Magic Happens.

Government 144

Government Metadata Unstructured data GDPR 144

IBM Big Data Hub

JUNE 7, 2022

Governments and regulatory bodies around the world are working to establish safety standards. The proposed rules aim to govern automated valuation models to protect borrowers. As governments recognize and regulate the growing use of AI for crucial decisions, enterprises should prepare proactively. In the U.S.,

Government 52

Government Financial Services Compliance Cloud 52

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture. Don’t try to do everything at once!

Government 83

Government e-Delivery Compliance Access 83

OpenText Information Management

AUGUST 28, 2018

Streaming Analytics is the ability to continuously process, manage, monitor, enrich and perform real-time analysis on live streaming data (typically from sensors and other components of the Internet of Things [IoT]).

Analytics 64

Analytics IoT Access Data science 64

IBM Big Data Hub

OCTOBER 16, 2023

This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

Government 77

Government Risk Artificial Intelligence Metadata 77

erwin

MARCH 25, 2021

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, the second webinar focused on “ The Value of Data Governance & How to Quantify It.”.

Government 109

Government IT Compliance Risk 109

Collibra

JULY 14, 2023

Today, we’re excited to announce we’ve attained two new AWS Competencies under the AWS Competency Program: the Data and Analytics Competency, and the Government Competency. Collibra takes immense pride in achieving the AWS Data and Analytics Competency and the AWS Government Competency.

Analytics 78

Analytics Government Metadata Financial Services 78

erwin

JULY 9, 2021

At the root of data intelligence is data governance , which helps ensure the right level of data access, availability and usage based on a defined set of data policies and principles. The Importance of Data Governance. Organizations recognize the importance of effective data governance. They are just starting a formal program.

Government 59

Government Compliance Analytics Data Privacy 59

Collibra

NOVEMBER 11, 2020

The crux of the partnership between Collibra and Databricks is simple: Collibra offers a Data Intelligence platform that helps organizations assure trust in data; Databricks offers a unified analytics platform to turn that trusted data into business insights. These two sets of capabilities go hand in hand. Integration touchpoints.

Analytics 59

Analytics Metadata Compliance Digital transformation 59

erwin

NOVEMBER 6, 2019

erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. Download Free GDPR Guide | Step By Step Guide to Data Governance for GDPR?. Data governance maturity includes the ability to rely on automated and repeatable processes.

Metadata 102

Metadata Government GDPR Healthcare 102

IBM Big Data Hub

MAY 31, 2023

Presto is an open-source, fast and reliable SQL query engine that provides one simple ANSI SQL interface for all your data analytics and your open lakehouse. The virtual show will feature many marquee users sharing how they use Presto to power their data analytics and lakehouses. Register for the free, virtual event What is Presto?

Analytics 91

Analytics Government Cloud Artificial Intelligence 91

OpenText Information Management

JANUARY 7, 2022

Every day, intra- and cross-functional government teams exchange diverse datasets to achieve their citizen-centric missions. appeared first on OpenText Blogs.

Information Security 67

Information Security Government Security Cybersecurity 67

CGI

OCTOBER 14, 2019

Driving new revenue streams through artificial intelligence and advanced analytics. Artificial intelligence (AI) and advanced analytics, together with cloud computing, are enabling very large quantities of data to be collected, stored and processed in real time or near real time. Sourcing data for AI and advanced analytics.

Artificial Intelligence 64

Artificial Intelligence Analytics Customer Experience Big data 64

OpenText Information Management

APRIL 19, 2024

map to schema, telemetry enrichment, parsing, analytics, cross-correction, and alert prioritization) R--Response ensure there are defined ways to triaging issues, automating workflows, hunt and investigate, providing surgical responses and performing schedule scans. The post Machine vs. machine appeared first on OpenText Blogs.

Cybersecurity 111

Cybersecurity Analytics Data breaches Ransomware 111

Bill Schmarzo - Dell EMC

FEBRUARY 6, 2018

We have historical experiences and references to revisit in discerning what the government can do to nurture our “Analytics Revolution.” Notably, the Industrial Revolution, holds many lessons regarding the consequences of late and/or confusing government involvement and guidance (see Figure 1). Can’t Operate in a World of Fear.

Big data 87

Big data Artificial Intelligence Government Privacy 87

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. Real-time data analytics helps in quick decision-making, while advanced forecasting algorithms predict product demand across diverse locations.

Analytics 86

Analytics Retail Cloud Insurance 86

Micro Focus

FEBRUARY 6, 2023

Our world-class Vertica Analytics Platform, IDOL Unstructured Data Analytics, and Professional Services enable the team to collect and process vast amounts of data, to create more accurate predictions, make better time-critical decisions during races, help maximize efficiency, and minimize carbon footprints.

Unstructured data 80

Unstructured data Analytics Government 80

IBM Big Data Hub

JUNE 29, 2023

This blog explores the significance of IBP in today’s modern business landscape and highlights its key benefits and implementation considerations. Data integration and analytics IBP relies on the integration of data from different sources and systems.

Analytics 83

Analytics Sales Marketing Risk 83

IBM Big Data Hub

AUGUST 2, 2023

People analytics is at the center of Human Resources (HR) strategy. Companies rely heavily on data and analytics to find and retain talent, drive engagement, and improve productivity. However, analytics are only as good as the quality of the data, which aims to be error-free, trustworthy, and transparent. million each year.

Analytics 65

Analytics Cloud Government Communications 65

Collibra

JULY 12, 2022

Although the four pillars of data mesh are inextricably linked, this blog will focus on the first pillar: domain-driven ownership. It assumes that one of the primary challenges of managing analytical workloads with legacy architecture is knowledge. Federated computational governance. Sales analytics people sat in Sales.

Analytics 98

Analytics Sales Marketing Big data 98

Data Matters

OCTOBER 26, 2021

The ICO’s response to the UK government’s proposals further presents another pivotal moment for UK data protection law. Being the UK’s lead regulator, the ICO’s response is significant and the UK government will need to take into account its responses before draft legislation takes shape.

Government 97

Government GDPR IT Personal data 97

OpenText Information Management

APRIL 9, 2024

As Jaguar TCS Racing’s official technical and analytics partner, our organizations each have had an unwavering commitment to sustainability and innovation for many years—even before the partnership began. OpenText™ Vertica and OpenText™ IDOL support Jaguar TCS Racing through data management and analytics. Register now!

Analytics 62

Analytics Unstructured data Data collection Sales 62

IBM Big Data Hub

MARCH 29, 2024

If you’re currently using traditional AI, advanced analytics, and intelligent automation, aren’t you already getting deep insights into asset performance? You need mature data governance plans, incorporation of legacy systems into current strategies, and cooperation across business units. Undoubtedly.

Artificial Intelligence 91

Artificial Intelligence Analytics Data Privacy Privacy 91

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. Discover how you can optimize your data warehouse to scale analytics and artificial intelligence (AI) workloads with a data lakehouse strategy.

Analytics 57

Analytics Artificial Intelligence Big data Cloud 57

CGI

OCTOBER 12, 2018

Virtual audit: How it works and why government might use it. Government agencies conduct audits for many reasons. Some are external, such as tax audits at the state or federal level or audits of agency processes, such as those carried out by the Government Accountability Office. Fri, 10/12/2018 - 05:39.

Government 40

Government IT Big data Analytics 40

OpenText Information Management

APRIL 2, 2019

Governments are drowning in data. Globally, artificial … The post Global governments have their eye on Artificial Intelligence appeared first on OpenText Blogs. The problem is selecting the relevant information, deriving meaningful insights from it, and using those insights to guide decision-making.

Artificial Intelligence 68

Artificial Intelligence Government Customer Experience Digital transformation 68

CGI

FEBRUARY 27, 2019

Data governance: The secret ingredient for getting the most from data-centric initiatives. Government and commercial organizations are becoming much more interested in leveraging their data, establishing data labs and standing up self-service environments. As the organization scales up, it has to add a layer of governance.

Government 40

Government Digital transformation Analytics Communications 40

Collibra

JUNE 15, 2023

As businesses scale data and analytics capabilities, the importance of a self-service data infrastructure becomes increasingly critical. You can read more about domain-driven ownership in our recent blog.) This is especially true as data mesh operational models see increasing adoption by forward-thinking, data-driven organizations.

Analytics 97

Analytics Metadata Access Compliance 97

Everteam

APRIL 2, 2019

To support organizations in their efforts to manage their information properly, Spigraph is making two Everteam governance products available: everteam.discover and everteam.policy: everteam.discover is a file and content analytics solution that connects to both structured and unstructured data repositories across the organization.

Information governance 40

Information governance Marketing Government Digital transformation 40